← surewhynot.app

INDIVIDUAL MCP TOOL

ode

[Physics ODE, SciPy] Solve coupled ODE systems from parameterized templates (orbital 2-body, oscillator, pendulum, heat transfer, RC/RLC, projectile-with-drag, SIR) or a generic linear system, with energy/conservation checks.

surewhynot.appnone authenticationAvailability not checked

Input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

  • A tool name or description suggests a financial action.

Parent endpoint

surewhynot.app

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.quantum-artificer]
url = "https://quantum-artificer.surewhynot.app/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "quantum-artificer": {
      "type": "http",
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: quantum-artificer
Remote MCP URL: https://quantum-artificer.surewhynot.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "quantum-artificer": {
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "quantum-artificer": {
      "type": "http",
      "url": "https://quantum-artificer.surewhynot.app/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "quantum-artificer",
  "transport": "streamable-http",
  "url": "https://quantum-artificer.surewhynot.app/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • quantum_artificer_info — FREE.
  • symbolic — [Symbolic math, SymPy] Exact symbolic computation: simplify, differentiate, integrate, solve equations/systems, limits, series, Laplace/Fourier transforms, arbitrary-precision eval.
  • numerical — [Numerical, SciPy] Root-finding, optimization, numerical integration (quad), eigenvalues/vectors, linear solves — with residuals and condition numbers.
  • quantum — [Quantum simulation, Qiskit Aer] Simulate small/medium quantum circuits: statevector, density-matrix (noise), stabilizer, MPS; shots, expectation values, seeded determinism.
  • chemistry — [Physical chemistry, Cantera + CoolProp] Thermochemistry: equilibrium, adiabatic flame temperature, thermo/transport properties, fluid properties (steam/refrigerants).